Generative Compression

Traditional image and video compression algorithms rely on hand-crafted encoder/decoder pairs (codecs) that lack adaptability and are agnostic to the data being compressed. Here we describe the concept of generative compression, the compression of data using generative models, and suggest that it is a direction worth pursuing to produce more accurate and visually pleasing reconstructions at much deeper compression levels for both image and video data. We also demonstrate that generative compression is orders-of-magnitude more resilient to bit error rates (e.g. from noisy wireless channels) than traditional variable-length coding schemes

Coding and Decoding Schemes for MSE and Image Transmission

In this work we explore possibilities for coding and decoding tailor-made for mean squared error evaluation of error in contexts such as image transmission. To do so, we introduce a loss function that expresses the overall performance of a coding and decoding scheme for discrete channels and that exchanges the usual goal of minimizing the error probability to that of minimizing the expected loss. In this environment we explore the possibilities of using ordered decoders to create a message-wise unequal error protection (UEP), where the most valuable information is protected by placing in its proximity information words that differ by a small valued error. We give explicit examples, using scale-of-gray images, including small-scale performance analysis and visual simulations for the BSMC.Comment: Submitted to IEEE Transactions on Information Theor

An Improved Downlink MC-CDMA System for Efficient Image Transmission, Journal of Telecommunications and Information Technology, 2017, nr 4

Image compression is an essential stage of the data archiving and transmitting process, as it reduces the number of bits and the time required to complete the transmission. In this article, a study of image transmission over the Multi-Carrier Code Division Multiple Access (MC-CDMA) downlink system is presented. The solution proposed relies on source coding combined with channel coding. The Discrete Wavelet Transform (DWT) method is used in conjunction with the SPIHT coder to compress the image, then the data generated is transmitted with the MC-CDMA technique over a noisy channel. The results show that image transmissions performed over MC-CDMA using the SPIHT model are better than the traditional approach like MC-CDMA in the AWGN channel

Journal of Telecommunications and Information Technology, 2017, nr 4

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Coding and decoding schemes tailor made for image transmission

In this work we explore possibilities for coding and decoding tailor made for image transmission. To do so, we introduce a loss function that expresses the overall performace of a coding scheme for discrete channels and exchange the usual goal of minimizing the error probability to that of minimizing the expected loss. In this environment we explore the possibilities of using poset-decoders to make a message-wise unequal error protection (UEP), where the most valuable information is protected by placing in its proximity information words that differ by small valued information. We give explicit examples, done for scale-of-gray images, including visual simulations for the BSMC. © 2013 IEEE.In this work we explore possibilities for coding and decoding tailor made for image transmission. To do so, we introduce a loss function that expresses the overall performace of a coding scheme for discrete channels and exchange the usual goal of minimiziFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO2007/ 56052-8Barg, A., Purkayastha, P., Bounds on ordered codes and orthogonal arrays (2009) Moscow Mathematical Journal, 9 (2), pp. 211-243Berlekamp, E.R., McEliece, R.J., Van Tilborg, H.C.A., On the Inherent Intractability of Certain Coding Problems (1978) IEEE Transactions on Information Theory, 24 (3)Borade, S., Nakiboǧlu, B., Zheng, L., Unequal error protection: An information-theoretic perspective (2009) IEEE Transactions on Information Theory, 55 (12), pp. 5511-5539Brualdi, R., Graves, J.S., Lawrence, M., Codes with a poset metric (1995) Discrete Mathematics, 147, pp. 57-72Cover, T., Thomas, J.A., (2006) Elements of Information Theory, , John Wiley & SonsFirer, M., Panek, L., Ramos Rifo, L.L., (2011) Coding in the Presence of Semantic Value of Information: Unequal Error Protection Using Poset Decoders, , arXiv:1108.3832 [cs.IT]Felix, L.V., Firer, M., Canonical-Systematic Form of Hierarchical Codes (2012) Advances in Mathematics of Communications, 6 (3), pp. 315-328Po Ho, K., Kahn, J.M., Image Transmission over Noisy Channels Using Multicarrier Modulation (1997) Signal Processing: Image Communication, 9, pp. 159-169Hyun, J.Y., Kim, H.K., The poset structures admitting the extended binary Hamming code to be a perfect code (2004) Discrete Mathematics, 288, pp. 37-47Hyun, J.Y., Kim, H.K., Maximum distance separable poset codes (2008) Designs, Codes and Cryptography, 48 (3), pp. 247-261Jang, C., Kim, H.K., Oh, D.Y., Rho, Y., The poset structures admitting the extended binary Golay code to be a perfect code (2008) Discrete Mathematics, 308, pp. 4057-4068Kim, H.K., Oh, D.Y., A Classification of Poset Admitting the MacWilliams Identity (2005) IEEE Transactions on Information Theory, 51 (4), pp. 1424-1431Kolmogorov, A.N., On the Shannon theory of information in the case of continuous signals (1956) IEEE Transactions on Information Theory, , SeptemberMasnick, B., Wolf, J., On linear unequal error protection codes (1967) IEEE Transactions on Information Theory, 3 (4), pp. 600-607De Oliveira Moura, A., Firer, M., Duality for poset codes (2010) IEEE Transactions on Information Theory, 56 (7), pp. 3180-3186Panek, L., Firer, M., Kim, H.K., Hyun, J.Y., Groups of linear isometries on poset structures (2008) Discrete Mathematics, 308, pp. 4116-4123Panek, L., Firer, M., Alves, M.M.S., Symmetry groups of Rosenbloom-Tsfasman spaces (2009) Discrete Mathematics, 309, pp. 763-771Panek, L., Firer, M., Alves, M.M.S., Classification of Niederreiter-Rosenbloom-Tsfasman Block Codes (2010) IEEE Transactions on Information Theory, 56 (10), pp. 5207-5216Pinheiro, J.A., Firer, M., Classification of poset-block spaces admitting MacWilliams-type identity Information Theory, IEEE Transactions on, PP (99), p. 1Parmigiani, G., Inoue, L.Y., (2009) Decision Theory, Principles and Approaches, , Wiley, Cornwall, UKRosenbloom, M.Y., Tsfasman, M.A., Codes for the m-metric (1997) Problems of Information Transmission, 33, pp. 45-52Shannon, C.E., A mathematical theory of communication (1948) Bell System Tech. J., 27, pp. 379-423Shannon, C.E., Coding theorems for a discrete source with a fidelity criterion (1959) IRE Nat. Conv. Rec., , marchSchröder, B.S.W., (2003) Ordered Sets - An Introduction, , BirkhäuserTavildar, S., Viswanath, P., Approximately universal codes over slowfading channels (2006) IEEE Transactions on Information Theory, 52 (7), pp. 3233-3258Information Theory and Applications Workshop (ITA